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<h1 id="sec_name">
<span data-if="hdevelop" style="display:inline;">gen_principal_comp_trans</span><span data-if="c" style="display:none;">T_gen_principal_comp_trans</span><span data-if="cpp" style="display:none;">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none;">GenPrincipalCompTrans</span><span data-if="python" style="display:none;">gen_principal_comp_trans</span> (算子名称)</h1>
<h2>名称</h2>
<p><code><span data-if="hdevelop" style="display:inline;">gen_principal_comp_trans</span><span data-if="c" style="display:none;">T_gen_principal_comp_trans</span><span data-if="cpp" style="display:none;">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none;">GenPrincipalCompTrans</span><span data-if="python" style="display:none;">gen_principal_comp_trans</span></code> — Compute the transformation matrix of the principal component
analysis of multichannel images.</p>
<h2 id="sec_synopsis">参数签名</h2>
<div data-if="hdevelop" style="display:inline;">
<p>
<code><b>gen_principal_comp_trans</b>(<a href="#MultichannelImage"><i>MultichannelImage</i></a> :  :  : <a href="#Trans"><i>Trans</i></a>, <a href="#TransInv"><i>TransInv</i></a>, <a href="#Mean"><i>Mean</i></a>, <a href="#Cov"><i>Cov</i></a>, <a href="#InfoPerComp"><i>InfoPerComp</i></a>)</code></p>
</div>
<div data-if="c" style="display:none;">
<p>
<code>Herror <b>T_gen_principal_comp_trans</b>(const Hobject <a href="#MultichannelImage"><i>MultichannelImage</i></a>, Htuple* <a href="#Trans"><i>Trans</i></a>, Htuple* <a href="#TransInv"><i>TransInv</i></a>, Htuple* <a href="#Mean"><i>Mean</i></a>, Htuple* <a href="#Cov"><i>Cov</i></a>, Htuple* <a href="#InfoPerComp"><i>InfoPerComp</i></a>)</code></p>
</div>
<div data-if="cpp" style="display:none;">
<p>
<code>void <b>GenPrincipalCompTrans</b>(const HObject&amp; <a href="#MultichannelImage"><i>MultichannelImage</i></a>, HTuple* <a href="#Trans"><i>Trans</i></a>, HTuple* <a href="#TransInv"><i>TransInv</i></a>, HTuple* <a href="#Mean"><i>Mean</i></a>, HTuple* <a href="#Cov"><i>Cov</i></a>, HTuple* <a href="#InfoPerComp"><i>InfoPerComp</i></a>)</code></p>
<p>
<code><a href="HTuple.html">HTuple</a> <a href="HImage.html">HImage</a>::<b>GenPrincipalCompTrans</b>(HTuple* <a href="#TransInv"><i>TransInv</i></a>, HTuple* <a href="#Mean"><i>Mean</i></a>, HTuple* <a href="#Cov"><i>Cov</i></a>, HTuple* <a href="#InfoPerComp"><i>InfoPerComp</i></a>) const</code></p>
</div>
<div data-if="com" style="display:none;"></div>
<div data-if="dotnet" style="display:none;">
<p>
<code>static void <a href="HOperatorSet.html">HOperatorSet</a>.<b>GenPrincipalCompTrans</b>(<a href="HObject.html">HObject</a> <a href="#MultichannelImage"><i>multichannelImage</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#Trans"><i>trans</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#TransInv"><i>transInv</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#Mean"><i>mean</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#Cov"><i>cov</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#InfoPerComp"><i>infoPerComp</i></a>)</code></p>
<p>
<code><a href="HTuple.html">HTuple</a> <a href="HImage.html">HImage</a>.<b>GenPrincipalCompTrans</b>(out <a href="HTuple.html">HTuple</a> <a href="#TransInv"><i>transInv</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#Mean"><i>mean</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#Cov"><i>cov</i></a>, out <a href="HTuple.html">HTuple</a> <a href="#InfoPerComp"><i>infoPerComp</i></a>)</code></p>
</div>
<div data-if="python" style="display:none;">
<p>
<code>def <b>gen_principal_comp_trans</b>(<a href="#MultichannelImage"><i>multichannel_image</i></a>: HObject) -&gt; Tuple[Sequence[float], Sequence[float], Sequence[float], Sequence[float], Sequence[float]]</code></p>
</div>
<h2 id="sec_description">描述</h2>
<p><code><span data-if="hdevelop" style="display:inline">gen_principal_comp_trans</span><span data-if="c" style="display:none">gen_principal_comp_trans</span><span data-if="cpp" style="display:none">GenPrincipalCompTrans</span><span data-if="com" style="display:none">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none">GenPrincipalCompTrans</span><span data-if="python" style="display:none">gen_principal_comp_trans</span></code> computes the transformation matrix
of a principal components analysis of multichannel images.  This is
useful for images obtained, e.g., with the thematic mapper of the
Landsat satellite.  Because the spectral bands are highly correlated,
it is desirable to transform them to uncorrelated images.  This can
be used to save storage, since the bands containing little
information can be discarded, and with respect to a later
classification step.
</p>
<p>该算子 <code><span data-if="hdevelop" style="display:inline">gen_principal_comp_trans</span><span data-if="c" style="display:none">gen_principal_comp_trans</span><span data-if="cpp" style="display:none">GenPrincipalCompTrans</span><span data-if="com" style="display:none">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none">GenPrincipalCompTrans</span><span data-if="python" style="display:none">gen_principal_comp_trans</span></code> takes one or more
multichannel images <a href="#MultichannelImage"><i><code><span data-if="hdevelop" style="display:inline">MultichannelImage</span><span data-if="c" style="display:none">MultichannelImage</span><span data-if="cpp" style="display:none">MultichannelImage</span><span data-if="com" style="display:none">MultichannelImage</span><span data-if="dotnet" style="display:none">multichannelImage</span><span data-if="python" style="display:none">multichannel_image</span></code></i></a> and computes the
transformation matrix <a href="#Trans"><i><code><span data-if="hdevelop" style="display:inline">Trans</span><span data-if="c" style="display:none">Trans</span><span data-if="cpp" style="display:none">Trans</span><span data-if="com" style="display:none">Trans</span><span data-if="dotnet" style="display:none">trans</span><span data-if="python" style="display:none">trans</span></code></i></a> for the principal components
analysis, as well as its inverse <a href="#TransInv"><i><code><span data-if="hdevelop" style="display:inline">TransInv</span><span data-if="c" style="display:none">TransInv</span><span data-if="cpp" style="display:none">TransInv</span><span data-if="com" style="display:none">TransInv</span><span data-if="dotnet" style="display:none">transInv</span><span data-if="python" style="display:none">trans_inv</span></code></i></a>.  All input
images must have the same number of channels.  The principal
components analysis is performed based on the collection of data of
all images.  Hence, <code><span data-if="hdevelop" style="display:inline">gen_principal_comp_trans</span><span data-if="c" style="display:none">gen_principal_comp_trans</span><span data-if="cpp" style="display:none">GenPrincipalCompTrans</span><span data-if="com" style="display:none">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none">GenPrincipalCompTrans</span><span data-if="python" style="display:none">gen_principal_comp_trans</span></code> facilitates
using the statistics of multiple images.
</p>
<p>If n is the number of channels, <a href="#Trans"><i><code><span data-if="hdevelop" style="display:inline">Trans</span><span data-if="c" style="display:none">Trans</span><span data-if="cpp" style="display:none">Trans</span><span data-if="com" style="display:none">Trans</span><span data-if="dotnet" style="display:none">trans</span><span data-if="python" style="display:none">trans</span></code></i></a> and
<a href="#TransInv"><i><code><span data-if="hdevelop" style="display:inline">TransInv</span><span data-if="c" style="display:none">TransInv</span><span data-if="cpp" style="display:none">TransInv</span><span data-if="com" style="display:none">TransInv</span><span data-if="dotnet" style="display:none">transInv</span><span data-if="python" style="display:none">trans_inv</span></code></i></a> are matrices of dimension n ×
(n+1), which describe an affine transformation of the multichannel
gray values.  They can be used to transform a multichannel image
with <a href="linear_trans_color.html"><code><span data-if="hdevelop" style="display:inline">linear_trans_color</span><span data-if="c" style="display:none">linear_trans_color</span><span data-if="cpp" style="display:none">LinearTransColor</span><span data-if="com" style="display:none">LinearTransColor</span><span data-if="dotnet" style="display:none">LinearTransColor</span><span data-if="python" style="display:none">linear_trans_color</span></code></a>.  For information purposes, the mean
gray value of the channels and the n × n
covariance matrix of the channels are returned in <a href="#Mean"><i><code><span data-if="hdevelop" style="display:inline">Mean</span><span data-if="c" style="display:none">Mean</span><span data-if="cpp" style="display:none">Mean</span><span data-if="com" style="display:none">Mean</span><span data-if="dotnet" style="display:none">mean</span><span data-if="python" style="display:none">mean</span></code></i></a> and
<a href="#Cov"><i><code><span data-if="hdevelop" style="display:inline">Cov</span><span data-if="c" style="display:none">Cov</span><span data-if="cpp" style="display:none">Cov</span><span data-if="com" style="display:none">Cov</span><span data-if="dotnet" style="display:none">cov</span><span data-if="python" style="display:none">cov</span></code></i></a>, respectively.  The parameter <a href="#InfoPerComp"><i><code><span data-if="hdevelop" style="display:inline">InfoPerComp</span><span data-if="c" style="display:none">InfoPerComp</span><span data-if="cpp" style="display:none">InfoPerComp</span><span data-if="com" style="display:none">InfoPerComp</span><span data-if="dotnet" style="display:none">infoPerComp</span><span data-if="python" style="display:none">info_per_comp</span></code></i></a>
contains the relative information content of each output channel.</p>
<h2 id="sec_attention">注意</h2>
<p>Note that filter operators may return unexpected results if
an image with a reduced domain is used as input. Please refer to the
chapter <a href="toc_filters.html">过滤器</a>.</p>
<h2 id="sec_execution">运行信息</h2>
<ul>
  <li>多线程类型:可重入(与非独占操作符并行运行)。</li>
<li>多线程作用域:全局(可以从任何线程调用)。</li>
  <li>未经并行化处理。</li>
</ul>
<h2 id="sec_parameters">参数表</h2>
  <div class="par">
<div class="parhead">
<span id="MultichannelImage" class="parname"><b><code><span data-if="hdevelop" style="display:inline">MultichannelImage</span><span data-if="c" style="display:none">MultichannelImage</span><span data-if="cpp" style="display:none">MultichannelImage</span><span data-if="com" style="display:none">MultichannelImage</span><span data-if="dotnet" style="display:none">multichannelImage</span><span data-if="python" style="display:none">multichannel_image</span></code></b> (input_object)  </span><span>(multichannel-)image(-array) <code>→</code> <span data-if="hdevelop" style="display:inline">object</span><span data-if="dotnet" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="python" style="display:none">HObject</span><span data-if="cpp" style="display:none"><a href="HImage.html">HImage</a></span><span data-if="c" style="display:none">Hobject</span> (byte / direction / cyclic / int1 / int2 / uint2 / int4 / real)</span>
</div>
<p class="pardesc">Multichannel input image.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="Trans" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Trans</span><span data-if="c" style="display:none">Trans</span><span data-if="cpp" style="display:none">Trans</span><span data-if="com" style="display:none">Trans</span><span data-if="dotnet" style="display:none">trans</span><span data-if="python" style="display:none">trans</span></code></b> (output_control)  </span><span>real-array <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">Sequence[float]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Transformation matrix for the computation of the PCA.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="TransInv" class="parname"><b><code><span data-if="hdevelop" style="display:inline">TransInv</span><span data-if="c" style="display:none">TransInv</span><span data-if="cpp" style="display:none">TransInv</span><span data-if="com" style="display:none">TransInv</span><span data-if="dotnet" style="display:none">transInv</span><span data-if="python" style="display:none">trans_inv</span></code></b> (output_control)  </span><span>real-array <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">Sequence[float]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Transformation matrix for the computation of the
inverse PCA.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="Mean" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Mean</span><span data-if="c" style="display:none">Mean</span><span data-if="cpp" style="display:none">Mean</span><span data-if="com" style="display:none">Mean</span><span data-if="dotnet" style="display:none">mean</span><span data-if="python" style="display:none">mean</span></code></b> (output_control)  </span><span>real-array <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">Sequence[float]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Mean gray value of the channels.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="Cov" class="parname"><b><code><span data-if="hdevelop" style="display:inline">Cov</span><span data-if="c" style="display:none">Cov</span><span data-if="cpp" style="display:none">Cov</span><span data-if="com" style="display:none">Cov</span><span data-if="dotnet" style="display:none">cov</span><span data-if="python" style="display:none">cov</span></code></b> (output_control)  </span><span>real-array <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">Sequence[float]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Covariance matrix of the channels.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="InfoPerComp" class="parname"><b><code><span data-if="hdevelop" style="display:inline">InfoPerComp</span><span data-if="c" style="display:none">InfoPerComp</span><span data-if="cpp" style="display:none">InfoPerComp</span><span data-if="com" style="display:none">InfoPerComp</span><span data-if="dotnet" style="display:none">infoPerComp</span><span data-if="python" style="display:none">info_per_comp</span></code></b> (output_control)  </span><span>real-array <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">Sequence[float]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Information content of the transformed channels.</p>
</div>
<h2 id="sec_result">结果</h2>
<p>该算子 <code><span data-if="hdevelop" style="display:inline">gen_principal_comp_trans</span><span data-if="c" style="display:none">gen_principal_comp_trans</span><span data-if="cpp" style="display:none">GenPrincipalCompTrans</span><span data-if="com" style="display:none">GenPrincipalCompTrans</span><span data-if="dotnet" style="display:none">GenPrincipalCompTrans</span><span data-if="python" style="display:none">gen_principal_comp_trans</span></code> 返回值 <TT>2</TT> (
      <TT>H_MSG_TRUE</TT>)
    
如果参数都是正确的。  Otherwise an exception is raised.</p>
<h2 id="sec_successors">可能的后置算子</h2>
<p>
<code><a href="linear_trans_color.html"><span data-if="hdevelop" style="display:inline">linear_trans_color</span><span data-if="c" style="display:none">linear_trans_color</span><span data-if="cpp" style="display:none">LinearTransColor</span><span data-if="com" style="display:none">LinearTransColor</span><span data-if="dotnet" style="display:none">LinearTransColor</span><span data-if="python" style="display:none">linear_trans_color</span></a></code>
</p>
<h2 id="sec_alternatives">可替代算子</h2>
<p>
<code><a href="principal_comp.html"><span data-if="hdevelop" style="display:inline">principal_comp</span><span data-if="c" style="display:none">principal_comp</span><span data-if="cpp" style="display:none">PrincipalComp</span><span data-if="com" style="display:none">PrincipalComp</span><span data-if="dotnet" style="display:none">PrincipalComp</span><span data-if="python" style="display:none">principal_comp</span></a></code>
</p>
<h2 id="sec_module">模块</h2>
<p>
Foundation</p>
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